Exploring Alternative Strategies for Presentation of Results from Web Searches
Oral Defence Date:
Prof. Rahul Singh, Prof. Dragutin Petkovic
As the complexity of the information available on the web increases, the role of user-data interaction paradigms is becoming increasingly critical for the success of web information retrieval. Recent years have witnessed significant advances in techniques for indexing and querying web data. However, in the same period, limited advancements have been made in developing paradigms and researching algorithmic issues associated with the design of interfaces for web-search. In this project, a novel paradigm is proposed for enabling multiple-perspective query and interaction in web search. Underlying the proposed metaphor are information and pattern analysis techniques that help determine semantic correlations between web pages, identify and extract information critical for intuitive understanding and hypothesis generation, and support effective and multiple-perspective interactions between users and the data. A comprehensive study is provided on the effectiveness and efficiency of the proposed approach in query-retrieval scenarios involving complex information goals. The investigations point to the importance of developing novel ways to mediate interactions during web-search and will be useful in the development of the next generation of real-world solutions for web information retrieval.
Multiple-perspective interaction, user interface, web search, information